Certanum  /  Defense

Mission-critical computation requires evidence.

Traceability is already a stated principle for defense AI. When an AI system contributes a number to a decision — a readiness figure, a supply requirement, a maintenance interval — that number needs the same traceability.

Certanum is being built so that every consequential figure is computed from authoritative source data, reproducible, and withheld when it cannot be supported.

01The problem

Three of the four links in an AI agent are probabilistic. Only the computation itself is deterministic.

An AI system decides whether to compute, selects the inputs and reports the result. A deterministic component inside a probabilistic pipeline does not make the pipeline deterministic. A figure can be plausible, the tool call can be logged, and the input can still have come from the model rather than the source.

Certanum’s focus is decision support and engineering calculation. It does not assess or enable weapon autonomy.

02Where it applies

Where consequential figures arise.

A figure is consequential when it is acted upon, recorded, submitted or defended.

Logistics & sustainment
Supply quantities, lead times and consumption figures.
Maintenance & readiness
Maintenance intervals, availability and readiness figures.
Planning calculations
Timings, distances and resource figures in planning support.
Test & evaluation
Measurements and derived results in test, evaluation, verification and validation.
Acquisition & cost
Cost estimates, schedule figures and quantities in programme decisions.
Critical infrastructure
Engineering calculations where numerical error carries physical consequence.
03Existing requirements

Defense AI principles already name traceability.

“Traceable”: AI capabilities developed and deployed “with transparent and auditable methodologies, data sources, and design procedure and documentation.”
NATO  ·  Principles of Responsible Use of AI  ·  2021
Include explainability and traceability among the principles for AI in defence.
Dependable AI in Defence: AI architecture traceable to requirements, performance demonstrated across operational contexts, and suppliers providing assurance including data provenance.
NIST AI Risk Management Framework
Calls for appropriate metrics, testing and documented evaluation of AI systems.

Descriptions of regulatory and policy instruments are indicative, are not legal advice, and should be confirmed with qualified counsel. Certanum confers compliance with nothing. It produces evidence an existing assurance, validation or audit process may require.

04What Certanum establishes

For every consequential figure: computed, traceable, reproducible — or withheld.

Computed. The figure is produced by declared, deterministic software — not generated by the model.

Traceable. Every operand entering the computation resolves to an authoritative source value, or to a declared, immutable artifact bound by digest.

Reproducible. A third party can re-execute the declared computation over the recorded operands and obtain the released figure.

Withheld when unsupported. An operand that cannot be resolved does not degrade the answer. It withholds it.

The architecture is model-agnostic and designed to run inside the operator’s own environment. It is additional to existing test, evaluation, verification and validation processes, not a substitute for them.

05Questions
Does Certanum assess or enable autonomous weapons?
No. Certanum's focus is decision support and engineering calculation: evidencing how a consequential figure was derived.
How does this relate to the traceability principle?
The DoD principle calls for transparent and auditable methodologies and data sources. Certanum is built to make that concrete at the level of an individual figure: which operands entered the computation, from which source, through which operation, and whether it reproduces.
Is Certanum tied to a particular model or cloud?
No. The architecture is model-agnostic and designed to run inside the operator's own environment.
Founding pilots
Founding pilots are currently in financial services and pharmaceuticals.

Defense and critical-systems organisations interested in the approach are welcome to contact us directly.

Other industries  ·  Pharmaceuticals  ·  Financial services  ·  AP-1 standard ↗